INDEX FOR VOLUME 9 *
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
A
Australia
Adelaide, Australia, Vol.9(1):17, 19, 21
Air Travel Price Index (ATPI), Vol.9(1):8, 12
Air quality, Vol.9(1):29–31, 37–38
Analysis of variance (ANOVA), Vol.9(1):50
Annual average daily travel (AADT), Vol.9(1):37, 50
ARTPLAN, Vol.9(1):30
Average effective speed (AES), Vol.9(1):31, 36
B
Bayesian analysis, Vol.9(1):18, 22
Berkson measurement error, Vol.9(1):39, 41, 44
Bureau of Labor Statistics (BLS), Vol.9(1):6–8, 10
Bureau of Public Roads (BPR), Vol.9(1):30–31
Bureau of Transportation Statistics (BTS), Vol.9(1):4–5,
8, 13
C
Case-control, Vol.9(1):17–21, 23–25, 27
Changes in productivity, Vol.9(1):2
Chi-squared, Vol.9(1):72
Clean Air Act, Vol.9(1):29
Consumer Federation of America (CFA), 10
Consumer Price Index (CPI), Vol.9(1):6–8, 10
Consumer Price Index for Air Transportation (CPI-AT), Vol.9(1):6
Correlation, Vol.9(1):5, 39–42, 44, 46, 55–56, 61
Cumulative Density Function (CDF), Vol.9(1):54
Curve data, Vol.9(1):36
D
Deviance information criteria (DIC), Vol.9(1):24
E
Eigenflow, Vol.9(1):50–62
F
Federal Highway Administration (FHWA), Vol.9(1):34
Forecasting, Vol.9(1):30, 64, 66, 68, 72, 74
Free-flow speed (FFS), Vol.9(1):30–32, 36
G
Greater Athens Area (GAA), Vol.9(1):50, 52
H
Highway Economic Requirement System (HERS), Vol.9(1):31–32, 34–38
Highway Performance Measurement System (HPMS), Vol.9(1):31–32, 35–38
Hirschman-Herfindahl Index (HHI), Vol.9(1):10
I
Increased productivity, Vol.9(1):2, 13
Industry employees, Vol.9(1):1, 12
Industry profits, Vol.9(1):1–2, 5, 12
K
Kentucky
Christian County, Kentucky, Vol.9(1):32
L
Labor productivity, Vol.9(1):2–5, 7, 12
Linear regression, Vol.9(1):40, 42, 46, 64
Logit model, Vol.9(1):19
M
Maximum allowable speed on a curve (VCURVE), Vol.9(1):36
Maximum speed resulting from the speed limit (VSPLIM), Vol.9(1):36
Mean Relative Error (MRE), Vol.9(1):58–59
Minnesota run-off-road data, Vol.9(1):24
MOBILE6, Vol.9(1):29–31, 37–38
Models, Vol.9(1):61, 64–68, 71–72, 74–75
ARIMA models, Vol.9(1):64
Bayesian statistical models, Vol.9(1):27
generalized linear models (GLM), Vol.9(1):40
internal models, Vol.9(1):31
frequency data, Vol.9(1):40
linear models, Vol.9(1):40
nonlinear models, Vol.9(1):40, 47
quadratic models, Vol.9(1):24–26
random effects model, Vol.9(1):42
regression model, Vol.9(1):40, 42, 64, 67
simulation models, Vol.9(1):60, 62
smoothing models, Vol.9(1):60
state-space models, Vol.9(1):66–67, 74
time series models, Vol.9(1):64–65
traffic simulation models, Vol.9(1):50
travel demand models (TDM), Vol.9(1):29–30
WinBUGS models, Vol.9(1):22
Monte Carlo simulations, Vol.9(1):25
Motor Vehicle Emission Simulator (MOVES), Vol.9(1):38
Multifactor productivity (MFP), Vol.9(1):4–5
N
National Highway Traffic Safety Administration (NHTSA), Vol.9(1):21
North America Industry Classification System (NAICS), Vol.9(1):2
O
Office of Airline Information (OAI), Vol.9(1):4–5, 14
Origin-destination (OD), Vol.9(1):50
P
Poisson regression, Vol.9(1):39–42, 46
Producer Price Index (PPI), Vol.9(1):6–8
Principal Component Analysis (PCA), Vol.9(1):49–52, 57, 59, 61
R
Railway Labor Act, Vol.9(1):12
Random coefficients, Vol.9(1):39
Regression analysis, Vol.9(1):5, 40, 67
Road Accident Research Unit (RARU), Vol.9(1):19–22, 24–27
S
Sampling, Vol.9(1):19, 44
randomly, Vol.9(1):21–22
Sensitivity analysis, Vol.9(1):37
Simulation, Vol.9(1):39–40, 42–44, 46, 50, 62
Singular Value Decomposition (SVD), Vol.9(1):50
Smoothing models, Vol.9(1):49, 60
Speed estimation, Vol.9(1):29–31, 37
Speed limits, Vol.9(1):17–19, 21, 33, 36
T
Time series, Vol.9(1):49–54, 59–60, 63–65, 72, 74–76
TranStats, Vol.9(1):4–5, 13
Travel Agent Commission Overrides (TACOS), Vol.9(1):9
U
Urban networks, Vol.9(1):49–50, 52, 62
U.S. Environmental Protection Agency (EPA), Vol.9(1):30, 34, 38
U-shaped relationship, Vol.9(1):17–18, 20, 23, 26–27
V
Vehicle-miles of travel (VMT), Vol.9(1):30
W
Weighted design speed, Vol.9(1):36–37
* A complete index of all volumes of the journal is available online at www.bts.gov/jts
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